Amazon Redshift and AWS Lake Formation compete in AWS's data management category. Amazon Redshift appears to have the upper hand in data processing performance due to its scalability and fast query capabilities, while AWS Lake Formation excels in data governance and security integration.
Features: Amazon Redshift offers dynamic node size adjustments, multi-format support including CSV and JSON, and secure VPC configurations. It also integrates well with BI tools and is recognized for its Massively Parallel Processing (MPP) architecture. AWS Lake Formation stands out with its data governance capabilities, including tag-based access control and integration with other AWS services. It provides a centralized data catalog with detailed access management options.
Room for Improvement: Amazon Redshift could enhance snapshot restoring for large datasets, improve data type compatibility, and strengthen SQL function support. Its ETL process needs refinement in handling unstructured data. AWS Lake Formation could improve cross-account sharing features, UI responsiveness, and offer more straightforward pricing with advanced governance capabilities like data lineage tracking.
Ease of Deployment and Customer Service: Amazon Redshift is primarily deployed in public cloud environments, praised for straightforward deployment and reliable AWS support, although advanced support requires paid plans. AWS Lake Formation also operates mainly in public cloud settings. Users express satisfaction with its support, while noting room for increased technical support responsiveness.
Pricing and ROI: Amazon Redshift is seen as cost-effective for large-scale uses, despite being on the pricey side for smaller enterprises. It provides a pay-per-use model conducive to efficient scaling. AWS Lake Formation involves multiple AWS services, complicating its pricing but allowing extensive integration into AWS's infrastructure. Users find value in its data governance despite the pricing complexity.
| Product | Market Share (%) |
|---|---|
| AWS Lake Formation | 5.5% |
| Amazon Redshift | 7.6% |
| Other | 86.9% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.
Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.
The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.
Amazon Redshift Functionalities
Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:
Reviews from Real Users
“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS
“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.
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